{"id":"W3037646282","doi":"10.1371/journal.pone.0235343","title":"Super-enhancer acquisition drives oncogene expression in triple negative breast cancer","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Genentech","keywords":"Enhancer; Triple-negative breast cancer; Cancer research; Breast cancer; Biology; Carcinogenesis; Oncogene; Chromatin immunoprecipitation; Cancer; CRISPR; Computational biology; Gene expression; Gene; Genetics; Promoter; Cell cycle","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113858,0.0001661664,0.0002108571,0.0002398395,0.0001260277,0.0002657431,0.0001604144,0.0001832067,0.00219506],"category_scores_gemma":[0.0001245372,0.0001545466,0.0001599981,0.0001609495,0.0001847955,0.0001009109,0.0003021118,0.0005212571,0.0005272849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002894386,"about_ca_system_score_gemma":0.0001533058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008198016,"about_ca_topic_score_gemma":0.002214467,"domain_scores_codex":[0.9998808,0.00001030352,0.000007033787,0.00003393446,0.00004166017,0.00002625157],"domain_scores_gemma":[0.9998995,0.00003075614,0.00002612787,0.00001230732,0.000007282768,0.00002406246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000196461,0.000007725286,0.0001763628,0.00001296812,0.000001714632,0.00002123311,0.000007663721,0.00003920415,0.9989513,0.00005048504,0.00002249101,0.0006892178],"study_design_scores_gemma":[0.000009084834,0.0001513347,0.016531,0.000007717842,0.00001430124,0.0004463432,0.00004437539,0.002195961,0.9757176,0.0001241698,0.004750336,0.000007776526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906793,0.0009183169,0.004534758,0.00007350225,0.00002067869,0.00003149932,0.001039964,0.0002582888,0.002443741],"genre_scores_gemma":[0.991505,0.0004866612,0.003371653,0.00008434452,0.000003680961,0.00003220719,0.001234677,0.00007539648,0.003206422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00219506,"threshold_uncertainty_score":0.007343233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596318913825403,"score_gpt":0.2246592862230987,"score_spread":0.2086960970848447,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}